Triple

T1421250
Position Surface form Disambiguated ID Type / Status
Subject Lanzarote Airport E30228 entity
Predicate IATAcode P418 FINISHED
Object ACE
ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
E163860 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ACE | Statement: [Lanzarote Airport, IATAcode, ACE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACE
Context triple: [Lanzarote Airport, IATAcode, ACE]
  • A. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • B. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • C. ACA
    ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
  • D. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • E. AAC
    AAC is a leading peer-reviewed scientific journal that publishes research on antimicrobial agents, chemotherapy, and related aspects of infectious diseases.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ACE
Triple: [Lanzarote Airport, IATAcode, ACE]
Generated description
ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ACE
Target entity description: ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
  • A. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • B. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • C. ACA
    ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
  • D. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • E. AAC
    The AAC is a collegiate athletic conference in the United States that organizes and governs sports competitions among its member universities, primarily at the NCAA Division I level.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c42210948190a8fb5e3f9ee3213b completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015f5ad08190aaa0d1063432af2b completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad01f8028881909af95e9f61a17e88 completed March 8, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad02c618c48190abf3e16d9f85e703 completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 8 p.m.